Alternatives and similar repositories for dciknn_cuda

Users that are interested in dciknn_cuda are comparing it to the libraries listed below

• didriknielsen / argmax_flows
  Code for paper "Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions"
  ☆91Updated 4 years ago
• yilundu / comet
  [NeurIPS 2021] Code for Unsupervised Learning of Compositional Energy Concepts
  ☆62Updated 3 years ago
• thu-ml / implicit-normalizing-flows
  Code for "Implicit Normalizing Flows" (ICLR 2021 spotlight)
  ☆36Updated 4 years ago
• minyoungg / overparam
  ☆42Updated 2 years ago
• michaelsdr / sinkformers
  Transformers with doubly stochastic attention
  ☆51Updated 3 years ago
• rythei / PyTorchOT
  implements optimal transport algorithms in pytorch
  ☆104Updated 3 years ago
• YannDubs / Invariant-Self-Supervised-Learning
  Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"
  ☆41Updated 3 years ago
• jw9730 / setvae
  [CVPR'21] SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data, in PyTorch
  ☆77Updated 3 years ago
• lsj2408 / URPE
  [NeurIPS 2022] Your Transformer May Not be as Powerful as You Expect (official implementation)
  ☆34Updated 2 years ago
• fwilliams / scalable-pytorch-sinkhorn
  ☆166Updated 3 years ago
• yilundu / ebm_compositionality
  [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models
  ☆47Updated 2 years ago
• advaitgosai / autocite
  simple bibtex generator for any text with \cite{}
  ☆31Updated last year
• tuero / perturbations-differential-pytorch
  Differentiable Optimizers with Perturbations in Pytorch
  ☆69Updated 4 years ago
• zengyi-li / NMCE-release
  Code for Neural Manifold Clustering and Embedding
  ☆61Updated 3 years ago
• AilsaF / RS-GAN
  ☆32Updated 5 years ago
• zengyi-li / MDSM
  Multiscale de-noising score matching
  ☆20Updated 4 years ago
• lucidrains / logavgexp-torch
  Implementation of LogAvgExp for Pytorch
  ☆37Updated 9 months ago
• Felix-Petersen / difftopk
  Differentiable Top-k Classification Learning
  ☆91Updated 3 years ago
• lucidrains / discrete-key-value-bottleneck-pytorch
  Implementation of Discrete Key / Value Bottleneck, in Pytorch
  ☆88Updated 2 years ago
• locuslab / deq-ddim
  ☆63Updated 2 years ago
• AvivNavon / DWSNets
  Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]
  ☆90Updated 2 years ago
• KingJamesSong / latent-flow
  NeurIPS23 "Flow Factorized Representation Learning"
  ☆41Updated 3 weeks ago
• Newbeeer / orthogonal_classifier
  Code for ICLR 2022 Paper, "Controlling Directions Orthogonal to a Classifier"
  ☆35Updated 2 years ago
• yilundu / improved_contrastive_divergence
  [ICML'21] Improved Contrastive Divergence Training of Energy Based Models
  ☆69Updated 3 years ago
• sajadn / Exemplar-VAE
  Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation
  ☆69Updated 5 years ago
• LeviViana / torch_sampling
  Efficient reservoir sampling implementation for PyTorch
  ☆107Updated 4 years ago
• ruiqigao / recovery_likelihood
  ☆53Updated 4 years ago
• facebookresearch / meta-ot
  Meta Optimal Transport
  ☆105Updated 2 years ago
• dwromero / g_selfatt
  Code repository for the paper "Group Equivariant Stand-Alone Self Attention For Vision" published at ICLR 2021. https://openreview.net/fo…
  ☆29Updated 4 years ago
• ryoungj / mcbits
  [ICML'21 Oral] Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding
  ☆14Updated 4 years ago